Master Data Management (MDM) Engineer

Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first then business delivering on our promise of a superior client experience. This takes hard work and innovation and we need more like-minded people on our team.

About the Role

Were looking for a Master Data Management (MDM) Engineer to join our this role you will support and evolve our Enterprise Data Platform. This role combines data stewardship MDM operations and modern data engineering with a focus on ETL/ELT pipelines Snowflake-based processing and data quality management. You will play a key role in ensuring trusted Customer & Contact data (Golden Records) while driving automation intelligent monitoring and continuous improvement across the data platform.

What Youll Do

• Design build and maintain ETL/ELT pipelines to ingest data into Snowflake and MDM.

• Develop SQL-based transformations for standardization cleansing and enrichment.

• Implement data models (staging curated golden layers) aligned with MDM architecture.

• Optimize Snowflake performance storage and cost efficiency.

• Implement data validation reconciliation and monitoring frameworks across pipelines.

• Define and implement data quality rules checks and KPIs.

• Perform root cause analysis and implement preventive fixes.

• Support QA/UAT testing for enhancements fixes and data remediation.

• Identify and implement automation opportunities across MDM and data pipelines.

• Drive adoption of AI-driven automation and intelligent workflows to reduce manual effort.

• Internally this roles title is MDM Data Engineer & Steward

Basic Qualifications

• Bachelors degree in Computer Science Information Systems or related field.

• 3 years of experience in MDM data engineering or data stewardship roles.

• Strong understanding of MDM concepts (Customer Contact Match/Merge Golden Record).

• Strong understanding of data quality and governance principles.

• Hands-on experience with SQL and relational databases.

• Experience working with ETL/ELT pipelines and data flows.

Preferred Qualifications

• Experience with Reltio/ Semarchy xDM (or similar MDM tools).

• Strong experience with Snowflake: SQL optimization data modeling ELT pipelines.

• Hands-on experience with ETL tools: Talend / Qlik / Informatica / AWS Glue.

• Familiarity with AWS (S3 Glue Lambda).

• Exposure to DevOps tools (JIRA Git Jenkins).

• Familiarity with AI-assisted data operations anomaly detection or automation frameworks is a plus.

Location1 Adelaide in Toronto Ontario

Compensation

The hiring base salary range for this position is $62600-$86000 annually. This range represents the Companys good-faith estimate of the expected base salary at the time of posting. Salary ranges may vary based on the geographic location where the work is performed. The salary range listed in this posting applies only to the location identified. Actual compensation will be determined based on several factors including the successful candidates qualifications knowledge skills experience internal pay equity and relevant market addition to base salary eligible employees may participate in annual incentive programs including bonuses commissions or other incentive compensation as applicable to the role. Element also offers a comprehensive benefits package which may include health insurance tuition reimbursement and retirement savings plans.

Whats in it for You
A culture of innovation empowerment decision-making and accountability
Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness (for qualified roles)
Additional benefits and amenities including paid time-off programs (vacation sick leave and holidays) (for qualified roles)

Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended.

Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity equity inclusion and belonging. We are pleased to consider all qualified applicants for employment without regard to race color religion genetic information sex gender identity sexual orientation age marital status family status ancestry national origin citizenship physical or mental disability veteran status military obligations or any other characteristic protected by federal state and local laws. Disability-related accommodations during the application and interview process are available upon you require an accommodation with our hiring process please send an email to or call . Element Fleet Management also uses AI-assisted tools to help screen and assess applications. These tools analyze information you provide (for example your rēsumē and screening responses) to identify job-related skills qualifications and experience. AI outputs do not by themselves determine whether you advance or receive an offer they assist recruiters and hiring managers. Final hiring decisions are made by people.